Qwen: Qwen3 VL 30B A3B Thinking

Public pricingIntelligence 79/100Medium memory視覚深い思考ツール利用

Qwen: Qwen3 VL 30B A3B Thinking は マルチモーダル モデルで、マルチモーダル推論と分析 に向いています。マルチモーダル入力処理、深い推論と計画、131K tokensのコンテキスト、低コストの特性を組み合わせ、マルチモーダル推論と分析 で安定した動作を支えます。品質・速度・コスト が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.13/1M

Output

$1.56/1M

Cached

$0.02/1M

Batch

$0.04/1M

Calculate your Qwen3 VL 30B A3B Thinking bill.

Set your workload — see cost at your exact volume.

What would Qwen3 VL 30B A3B Thinking cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Qwen3 VL 30B A3B Thinking at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen3

Released

Oct 2025

Training cutoff

Apr 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3 VL 30B A3B Thinking

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

FAQ

Qwen3 VL 30B A3B Thinking — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3 VL 30B A3B Thinking costs roughly $72 per month. Input is $0.13 /1M tokens and output is $1.56 /1M tokens.
Qwen3 VL 30B A3B Thinking has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Qwen3 VL 30B A3B Thinking supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 VL 30B A3B Thinking was released in October 2025, with training data cut off around April 2025.
Models in a similar class include Qwen3 VL 8B Thinking, Qwen3.5-9B, Qwen3.5-35B-A3B. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Qwen3 VL 30B A3B Thinking against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.